Updates to the pipeline utils, mostly pulled from panoptes-utils.
Also includes updates to move sextractor -> source-extractor. This also results in a new naming scheme for some of the fields, e.g. sextractor_ra -> measured_ra.
In general, things that are measured_ come from the plate-solving -> source extraction process and catalog_ is from the catalog matching.
Make slice elements for the stamp have their own column.
get_postage_stamps only returns a dataframe with the stamp data and id columns, not all extra metadata. In the example notebook (and will be in the pipeline itself) this is combined with the catalog and measured dataframe to produce a master observation dataframe of all PSCs.
Dependencies for google bigquery added and panoptes-utils updated.
Adding a Dockerfile that installs source-extractor (this should eventually move back up to panoptes-utils) and the files from this library.
panoptes-utils.Also includes updates to move
sextractor->source-extractor. This also results in a new naming scheme for some of the fields, e.g.sextractor_ra->measured_ra.In general, things that are
measured_come from the plate-solving -> source extraction process andcatalog_is from the catalog matching.sliceelements for the stamp have their own column.get_postage_stampsonly returns a dataframe with the stamp data and id columns, not all extra metadata. In the example notebook (and will be in the pipeline itself) this is combined with the catalog and measured dataframe to produce a master observation dataframe of all PSCs.panoptes-utilsupdated.source-extractor(this should eventually move back up topanoptes-utils) and the files from this library.